Senior Data Engineer (Databricks)

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Nexaminds is looking for a Senior Databricks Engineer to lead the development, optimization, and scaling of our data solutions. The ideal candidate has hands-on expertise building end-to-end pipelines on Databricks and enjoys working in a fast-paced, highly collaborative environment.

Location: India

Qualifications we are looking for:

5+ years of experience in data engineering or similar roles.

Strong expertise with Databricks (Spark, Delta Lake, Workflows, SQL).

Proficiency in Python and SQL skills

Solid understanding of cloud platforms (Azure or AWS).

Experience with data modeling, data warehousing, and distributed computing.

Shell Scripting

Github, JFrog Artifactory

Excellent communication and collaboration skills

Strong written and verbal English proficiency

Job duties:

Design, build, and maintain scalable data pipelines using Databricks (SQL, Python, Spark).

Optimize ETL/ELT processes for performance, reliability, and cost efficiency.

Implement best practices for data quality, governance, and security.

Collaborate with data engineers, analysts, and stakeholders to define data requirements.

Troubleshoot and resolve issues across data workflows and distributed systems.

Support migration, modernization, or cloud data platform initiatives.